Background
The
ever-increasing data
and processing
requirements of
applications from
various domains are
constantly pushing for
dramatic increases in
computational and
storage capabilities.
Today, we have reached
a point where computer
systems’ growth cannot
be addressed anymore
in an incremental way,
due to the huge
challenges lying
ahead, in particular
scalability, energy
barrier, data
management,
programmability, and
reliability.
Ultrascale computing
systems (UCS) are
envisioned as a
large-scale complex
system joining parallel
and distributed
computing systems, maybe
located at multiple
sites, that cooperate to
provide solutions to the
users. As a growth of
two or three orders of
magnitude of today’s
computing systems is
expected, including
systems with
unprecedented amounts of
heterogeneous hardware,
lines of source code,
numbers of users, and
volumes of data,
sustainability is
critical to ensure the
feasibility of those
systems. Due to those
needs, currently there
is an emerging
cross-domain interaction
between high-performance
in clouds or the
adoption of distributed
programming paradigms,
such as Map-Reduce, in
scientific applications,
the cooperation between
HPC and distributed
system communities still
poses many challenges
towards building the
ultrascale systems of
the future. Especially
in unifying the services
to deploy sustainable
applications portable to
HPC systems,
multi-clouds, data
centers, and big data.
TASUS workshop focuses
on the software side,
aiming at bringing
together researchers
from academia and
industry interested in
the design,
implementation, and
evaluation of services
and system software
mechanisms to improve
sustainability in
ultrascale computing
systems with a holistic
approach.
Topics
We are looking
for original high
quality research and
position papers on
applications, services,
and system software for
sustainable ultrascale
systems. Topics of
interest include:
- Existing and
emerging designs to
achieve sustainable
ultrascale systems.
- High-level parallel
programming tools and
programmability
techniques to improve
applications
sustainability on
ultrascale
platforms. (model
driven, refactoring,
dynamic code
generation, unified
services,
middlewares, …).
- Synergies among
emerging programming
models and run-times
from HPC, distributed
systems, and big data
communities
to provide
sustainable
execution models
(increased
productivity,
transparency,
elasticity, …).
- New energy
efficiency techniques
for monitoring,
analyzing, and
modeling ultrascale
systems, including
energy efficiency
metrics for multiple
resources (computing,
storage, networking)
and sites.
- Eco-design of
ultrascale components
and applications, with
special emphasis on
energy-aware software
components that help
users to shape energy
issues for their
applications.
- Sustainable
resilience and
fault-tolerant
mechanisms that can
cooperate throughout
the whole software
stack to handle
errors.
- Fault tolerance
techniques in
partitioned global
address space (e.g.
PGAS, MPI, hybrid) and
federated cooperative
environments.
- Data management
optimization
techniques through
cross layer adaptation
of the I/O stack to
provide global system
information to improve
data locality.
- Enhanced data
management lifecycle
on scalable
architectures
combining HPC and
distributed computing
(clouds and data
centers).
- Experiences with
applications,
high-level algorithms,
and services amenable
to ultrascale systems.
Important dates
· Workshop
papers due: May 30,
2014
· Workshop author
notification: July 4,
2014
· Workshop early
registration: July 25,
2014
· Workshop camera-ready
papers due: October 3,
2014
Committees
Workshop
Organizers:
Prof. Jesus Carretero.
University Carlos III of
Madrid. Spain.
Dr. Laurent Lefevre.
INRIA, ENS of Lyon.
France
Prof. Gudula Rünger.
Technical University of
Chemnitz. Germany.
Prof. Domenico Talia.
Universitá della
Callabria. Italy.
Program
Committee:
Francisco Almeida.
Universidad de la
Laguna. Tenerife. Spain.
Angelos Bilas. ICS.
FORTH. Greece.
Harold Castro.
Universidad de los
Andes. Colombia.
Alok Choudhary.
Northwestern University.
USA.
Raimondas Ciegis.
Vilnius Gediminas
Technical University.
Lithuania.
Michele Colajanni.
Università di Modena e
Reggio Emilia. Italy
Toni Cortes. BSC. Spain.
Georges DaCosta.
Université Paul
Sabatier. Tolouse 3.
France.
Jack Dongarra.
University of Tennessee.
USA.
Skevos Evripidou.
University of Cyprus.
Cyprus.
Thomas Fahringer.
University of Innsbruck.
Austria.
Sonja Filiposka.
University of Ss Cyril
and Methodius. FYR
Macedonia.
Javier Garcia-Blas.
University Carlos III of
Madrid. Spain.
Jose D. Garcia.
University Carlos III of
Madrid. Spain.
Florin Isaila. Argonne
National Labs. USA.
Emmanuel Jeannot. INRIA
Bordeaux Sud-Ouest,
France.
Helen Karatza. Aristotle
University of
Thessaloniki. Greece.
Alexey Lastovetsky.
University College
Dublin. Ireland.
Dimitar Lukarski.
Uppsala University.
Sweden.
Pierre Manneback.
University of Mons.
Belgium.
Svetozar Margenov.
Bulgarian Academic of
Sciences. Bulgaria.
Attila Marosi. Hungarian
Academy of Sciences.
Hungary.
María José Martín
Santamaría. University
of Coruña. Spain.
Anastas Mishev.
University of Ss Cyril
and Methodius. FYR
Macedonia.
Ricardo Morla.
Universidade de Porto.
Portugal.
Maya Neytcheva. Uppsala
University. Sweden.
Ariel Oleksiak. Poznan
Supercomputing Center.
Poland.
Dana Petcu. West
University of Timisoara.
Romania.
Jean Marc Pierson.
Université Paul
Sabatier. Tolouse 3.
France.
Radu Prodan. University
of Innsbruck. Austria.
Gudula Ruenger.
Technische Universität
Chemnitz .Germany.
Enrique S.
Quintana-Orti.
Universitat Jaume I.
Spain.
Thomas Rauber.
University of Bayreuth.
Germany.
Karolj Skala. Ruđer
Bošković Institute.
Croatia.
Victor J. Sosa.
CINVESTAV. Mexico.
Leonel Sousa. INESC.
Portugal.
Roman Trobec. Jozef
Stefan Institute.
Slovenia.
Trinh Anh Tuan. Budapest
University of Technology
and Economics. Hungary.
Eero Vainikko.
University of Tartu.
Estonia.
Pascal Voubry.
University of
Luxembourg. Luxembourg.
Roman Wyrzykowski.
Czestochowa University
of Technology. Poland.
Laurence T. Yang.
St.Francis University.
Canada.
Julius Zilinskas.
Vilnius University.
Lithuania.
Albert Zomaya.
University of Sydney.
Australia.
Paper
submission guidelines
Full papers
should not exceed 12
pages in the Springer
LNCS style. The usage of
LaTeX for preparation of
the contribution as well
as the submission in
camera ready format is
strongly recommended.
The 12 pages limit is a
hard limit. It includes
everything (text,
figures, references) and
will be strictly
enforced by the
submission system.
Download LNCS Latex
style HERE.
Paper submission has to
be performed
electronically via the
conference Web site in
PDF format. Papers
accepted for publication
must also be supplied in
source form (LaTeX). Use
the PAPER
SUBMISSION ONLINE
SYSTEM to submit a
paper.
Papers must offer
original contributions
regarding the theory and
practice of parallel and
distributed computing.
Full submission
guidelines are available
on the conference
website. Only
contributions not
submitted elsewhere for
publication will be
considered.
Workshop proceedings
will be published in a
separate LNCS Euro-Par
2014 volume after the
conference. Authors of
accepted papers will be
requested to sign a
Springer copyright form.
Journal
special issue
Extended
versions of
distinguished selected
papers accepted and
presented in TASUS 2014,
after further revisions,
will be published in a
special issue of the
journalSimulation
Modelling Practice and
Theory (SIMPAT)
that is indexed in JCR.
Co-Organized
by
   
Contact
Mail to: tasus@arcos.inf.uc3m.es
|
